code: def main():
      parser = ArgumentParser(description="Corruption Result Analysis")
      parser.add_argument("filename", help="result file path")
      parser.add_argument(
          "--dataset",
          type=str,
          choices=["coco", "voc", "cityscapes"],
          default="coco",
          help="dataset type",
      )
      parser.add_argument(
          "--task",
          type=str,
          nargs="+",
          choices=["bbox", "segm"],
          default=["bbox"],
          help="task to report",
      )
      parser.add_argument(
          "--metric",
          nargs="+",
          choices=[
              None,
              "AP",
              "AP50",
              "AP75",
              "APs",
              "APm",
              "APl",
              "AR1",
              "AR10",
              "AR100",
              "ARs",
              "ARm",
              "ARl",
          ],
          default=None,
          help="metric to report",
      )
      parser.add_argument(
          "--prints",
          type=str,
          nargs="+",
          choices=["P", "mPC", "rPC"],
          default="mPC",
          help="corruption benchmark metric to print",
      )
      parser.add_argument(
          "--aggregate",
          type=str,
          choices=["all", "benchmark"],
          default="benchmark",
          help="aggregate all results or only those \
          for benchmark corruptions",
      )
  
      args = parser.parse_args()
  
      for task in args.task:
          get_results(
              args.filename,
              dataset=args.dataset,
              task=task,
              metric=args.metric,
              prints=args.prints,
              aggregate=args.aggregate,
          )
  
file_path: mmdetection/tools/analysis_tools/robustness_eval.py
imports: import os.path
  from argparse import ArgumentParser
  import numpy
  from mmengine.fileio import load
label_desc: Use image node_id 7 for calling a global function with example usage: main() without return types